Research on GB-SAR slope deformation geocoding method based on Bayes theorem

In recent years, the ground based deformation monitoring radar (GB-SAR), as an emerging remote sensing deformation monitoring technology equipment, has become a research hotspot in the field of open pit mine slope safety and landslide geohazard prevention and control. In this paper, addressing the spatial positioning ambiguity of pixel units within the masked areas of radar images, we present the Bayesian statistical framework into the spatial geocoding of ground deformation monitoring radar. Furthermore, we propose a registration process based on the quality assessment of scattered echo signals and spatial geometric parameters, aiming to achieve three-dimensional visualization of landslide deformation hazard areas. This approach fully leverages the technical support role of ground deformation monitoring radar in landslide disaster early warning. Realization of three-dimensional visualization and identification of landslide deformation hazard areas.